incompatible weights #21
Description
When I run the test code I got the error due to the mismatch of the weights
size mismatch for RPN.anchor_generator.cell_anchors.0: copying a param with shape torch.Size([3, 4]) from checkpoint, the shape in current model is torch.Size([15, 4]).
size mismatch for RPN.head.conv.weight: copying a param with shape torch.Size([256, 256, 3, 3]) from checkpoint, the shape in current model is torch.Size([2048, 2048, 3, 3]).
size mismatch for RPN.head.conv.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([2048]).
size mismatch for RPN.head.cls_logits.weight: copying a param with shape torch.Size([3, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([15, 2048, 1, 1]).
size mismatch for RPN.head.cls_logits.bias: copying a param with shape torch.Size([3]) from checkpoint, the shape in current model is torch.Size([15]).
size mismatch for RPN.head.bbox_pred.weight: copying a param with shape torch.Size([12, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([60, 2048, 1, 1]).
size mismatch for RPN.head.bbox_pred.bias: copying a param with shape torch.Size([12]) from checkpoint, the shape in current model is torch.Size([60]).